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Record W2494432720 · doi:10.1017/s0022215116008276

Melioidosis in a patient with chronic rhinosinusitis

2016· review· en· W2494432720 on OpenAlexaff
Nicholas Phillips, Anders Cervin, James Earnshaw, Hanna E. Sidjabat

Bibliographic record

VenueThe Journal of Laryngology & Otology · 2016
Typereview
Languageen
FieldMedicine
TopicBurkholderia infections and melioidosis
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMelioidosisBurkholderia pseudomalleiMedicineSulfamethoxazoleIncidence (geometry)SinusitisMeropenemTrimethoprimInternal medicineIntensive care medicineImmunologyAntibioticsAntibiotic resistancePathologyMicrobiologyBiologyBacteria

Abstract

fetched live from OpenAlex

BACKGROUND: Melioidosis is a serious infection caused by soil-dwelling Gram-negative bacillus Burkholderia pseudomallei. It is most commonly reported in Northern Australia, Southeast and Southern Asia, China, and Taiwan. METHODS: A case report and short review of the literature are presented. Presentation, diagnosis including genomic sequencing, and acute and long-term management are discussed. RESULTS: A 58-year-old female presented with chronic rhinosinusitis secondary to melioidosis. This is the third reported incidence of sinusitis secondary to melioidosis, which occurred in an otherwise well female with no risk factors and no apparent cause of exposure. Treatment involved an acute phase in which meropenem was administered parenterally for two weeks, followed by a prolonged oral course of trimethoprim-sulfamethoxazole for three months, as per recommended guidelines. CONCLUSION: In patients presenting with refractory chronic rhinosinusitis, ENT surgeons should consider the presence of unusual causative pathogens such as B pseudomallei, particularly in those with recent travel history to Northern Queensland and/or Southeast Asia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.303
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Laryngology & OtologySame topicBurkholderia infections and melioidosisFrench-language works237,207